4 documents found, page 1 of 1
Pervasive gaps in Amazonian ecological research
Carvalho, Raquel L.; Resende, Angelica F.; Barlow, Jos; França, Filipe M.; Moura, Mario R.; Maciel, Rafaella; Alves-Martins, Fernanda; Shutt, JackBiodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain underst...
Optimizing the remote detection of tropical rainforest structure with airborne ...
Almeida, Danilo Roberti Alves de; Stark, Scott C.; Shao, Gang; Schietti, Juliana; Nelson, Bruce Walker; Silva, Carlos Alberto; Görgens, Eric BastosAirborne Laser Scanning (ALS) has been considered as a primary source to model the structure and function of a forest canopy through the indicators leaf area index (LAI) and vertical canopy profiles of leaf area density (LAD). However, little is known about the effects of the laser pulse density and the grain size (horizontal binning resolution) of the laser point cloud on the estimation of LAD profiles and the...
Equações para estimar o estoque de carbono no fuste de árvores individuais e em...
Soares, Carlos Pedro Boechat; Leite, Helio Garcia; Görgens, Eric BastosO objetivo deste trabalho foi ajustar equações para estimar o carbono presente no fuste de árvores individuais de eucalipto e o estoque de carbono, por unidade de área, em diferentes condições de plantio. Para isso, foram utilizadas 532 árvores para ajustar a equação referente ao modelo alométrico de Schumacher e Hall (1933) e 95 parcelas permanentes para ajustar as equações referentes aos modelos de cresciment...
Estimação do volume de árvores utilizando redes neurais artificiais
Görgens, Eric BastosConselho Nacional de Desenvolvimento Científico e Tecnológico; Artificial neural networks (ANNs) consist of a processing unit network interconnected by adjustable weights. Each unit has a mathematical function that processes the sum of inputs of the respective neuron, generating an output value. This value is then passed on to all the other neurons of the next layer. Such nets are known as multi-layer feed forw...